Engineering Jobs in Capistrano Beach California

Title: GenAI Architect & Data Scientist 100% Remote Description: We are seeking a GenAI Architect & Data Scientist to design and build intelligent, scalable AI systems with a strong focus on Natural Language Processing (NLP) and Generative AIdriven conversational experiences.

The ideal candidate will combine deep data science expertise with architectural thinking to deliver intent-driven, context-aware, and production-ready AI solutions across cloud platforms.

This role requires 12+ years of hands-on and architectural experience in large-scale enterprise environments.

Key Responsibilities GenAI & NLP Solution Design Design and architect Generative AI solutions leveraging Large Language Models (LLMs).

Build and optimize NLP pipelines for intent detection, entity extraction, sentiment analysis, summarization, and conversational understanding.

Apply generative AI techniques to automate and enhance complex language-based interactions.

Design scalable AI architectures supporting multi-channel conversational platforms (web, chat, voice, APIs).

Intent Design & Conversational AI Analyze user behavior and business requirements to define intent hierarchies.

Design dialogue flows, fallback strategies, and contextual conversation handling.

Improve conversational accuracy using prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).

Ensure conversational experiences align with business goals and are explainable.

Data Science & Model Development Develop, train, evaluate, and optimize ML and deep learning models for NLP use cases.

Work with structured and unstructured data.

Perform feature engineering, experimentation, and model validation.

MLOps & Production Readiness Implement MLOps pipelines for model versioning, deployment, monitoring, and retraining.

Ensure production readiness with observability, performance tracking, and governance controls.

Collaborate with DevOps teams for enterprise AI integration.

Cloud AI & Architecture Design and deploy AI solutions on AWS, Azure, or GCP.

Leverage managed AI/ML services for training and inference.

Ensure scalability, security, compliance, and cost optimization.

Collaboration & Leadership Collaborate with product managers, engineers, UX designers, and stakeholders.

Provide architectural guidance and technical leadership.

Mentor data scientists and engineers on GenAI and MLOps best practices.

Required Skills Core Technical Skills Strong expertise in Natural Language Processing (NLP).

Hands-on experience with Generative AI and Large Language Models (LLMs).

Proven experience in Intent Design and conversational AI systems.

Strong background in Data Science and Machine Learning.

Experience implementing MLOps frameworks.

Job Title : Cloud Infrastructure
- Lead Location : Remote Job Description : Adobe's Enterprise Tools team is growing! Join a highly experienced team with vital responsibilities and a central role in product development.

As part of the team, you will help design, build, improve, support, and maintain Adobe Jira, one of the largest and most complex Jira Data Center installations in the world, as well as help the team move to Atlassian Cloud Stack.

Manage tools hosted on-premises and perform application-level upgrades.

Troubleshoot, proactively optimize applications, and perform cleanup.

Educate engineering teams on best practices.

Create, maintain, and improve monitoring and alerting systems using NewRelic and Splunk.

Expand self-service capabilities by identifying and building tools and automations that help users and admins.

Work with infrastructure support teams to keep software and hardware updated and patched.

Evaluate Atlassian Cloud and prepare for the Jira Cloud migration (coming soon).

Qualifications : 5+ years of Jira Data Center system admin experience at enterprise level scale.

2+ years of Jira Cloud system admin experience at enterprise level scale.

Hands-on Jira Cloud prep and migration experience.

Growing knowledge and passion for AI systems.

Accountability for both front-end and back-end-related technical challenges in the enterprise data center environment.

Excellent troubleshooting, debugging, problem-solving and analytical skills.

Proficiency with RedHat Linux system administration and programming.

Fluency with Java, scripting languages, Oracle and SQL databases.

Working knowledge of Atlassian products, GitHub, orchestration tools.

Experience with tool integrations on the enterprise level, like Jira and GitHub.

Customer support mindset with ability to communicate complex engineering initiatives to programmers and non-technical users.